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View our Virtual tourCourses - January 2023
Level 1
Course details
Conestoga 101
CON0101
- Hours: 1
- Credits: 0
- Pre-Requisites:
- CoRequisites:
Software Engineering Fundamentals
CSCN71000
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Computer Systems Architecture Fundamentals
CSCN71010
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Project I: Software Implementation and Unit Testing
CSCN71020
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Scientific and Technical Communications
ENGL71200
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Linear Algebra and Discrete Mathematics
MATH71010
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Programming Principles
PROG71985
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Level 2
Course details
Project II: Team Based Software Development
CSCN71030
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Object Oriented Programming
PROG71020
- Hours: 42
- Credits: 3
- Pre-Requisites: PROG71985 OR PROG71990
- CoRequisites:
User Experience Design
PROG71030
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Operating Systems and Security Fundamentals
PROG71040
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Data Structures and Algorithms
PROG72365
- Hours: 56
- Credits: 4
- Pre-Requisites: PROG71985 OR PROG71990
- CoRequisites:
Group Dynamics
SOC71500
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Level 3
Course details
Co-op and Career Preparation
CEPR71050
- Hours: 14
- Credits: 1
- Pre-Requisites:
- CoRequisites:
Introduction to Database Systems
CSCN72000
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Software Quality I: Testing Tools and Methodologies
CSCN72010
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Computer Networks
CSCN72020
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Project III: Software Development Life Cycle
CSCN72030
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Systems Analysis and Design
SENG71000
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Level 4
Course details
Project IV: Mobile and Networked Environments
COMP72070
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Software Design Techniques
CSCN72040
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Mobile and Networked Systems
CSCN72050
- Hours: 42
- Credits: 3
- Pre-Requisites: CSCN72020
- CoRequisites:
Software Quality II: User Experience Evaluation
CSCN72060
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Advanced Technical Communication
ENGL73170
- Hours: 42
- Credits: 3
- Pre-Requisites: ENGL71200
- CoRequisites:
Probability and Statistics
STAT72000
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Level 5
Course details
Co-op Work Term I (Bach Computer Science)
COOP72050
- Hours: 420
- Credits: 14
- Pre-Requisites:
- CoRequisites:
Level 6
Course details
Parallel Computing Techniques
CSCN73000
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Software Quality III: Build and Release
CSCN73010
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Project V: Advanced Software Development
CSCN73030
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Understanding Research
RSCH73000
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Introduction to Software Security
SECU73000
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Student must pass 1 Course(s), selected in the Student Portal from available course options
View Program Option Electives
Introduction to Big Data
PROG73010
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Network Security
SECU73010
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Level 7
Course details
Software Quality IV: Performance and Analysis
CSCN73040
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Project VI: Software Efficiency and Performance
CSCN73060
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Enterprise Application Development
PROG73020
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Analysis of Algorithms
PROG73030
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Student must pass 1 Course(s), selected in the Student Portal from available course options
Interdisciplinary Elective Details
View Program Option Electives
Canadian Multiculturalism
SOC73140
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Student must pass 1 Course(s), selected in the Student Portal from available course options
View Program Option Electives
Big Data Integration and Processing
PROG73040
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Information Security Management
SECU73020
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Level 8
Course details
Co-op Work Term II (Bach Computer Science)
COOP73050
- Hours: 420
- Credits: 14
- Pre-Requisites:
- CoRequisites:
Level 9
Course details
Co-op Work Term III (Bach Computer Science)
COOP74090
- Hours: 420
- Credits: 14
- Pre-Requisites:
- CoRequisites:
Level 10
Course details
Software Safety and Reliability
CSCN74000
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Capstone Project I
CSCN74050
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Student must pass 1 Course(s), selected in the Student Portal from available course options
Interdisciplinary Elective Details
View Program Option Electives
Psychology: Basic Processes Of Behaviour
PSYC71240
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Canadian Multiculturalism
SOC73140
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Student must pass 1 Course(s), selected in the Student Portal from available course options
Interdisciplinary Elective Details
View Program Option Electives
Psychology: Basic Processes Of Behaviour
PSYC71240
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Canadian Multiculturalism
SOC73140
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Student must pass 1 Course(s), selected in the Student Portal from available course options
View Program Option Electives
Applications of Artificial Intelligence and Machine Learning
PROG74000
This course explores Artificial Intelligence, Machine Learning, and Deep Learning, emphasizing practical applications across industries. Starting with foundational concepts, students critically analyze the machine-learning pipeline and delve into traditional machine-learning approaches and key algorithms. The course examines models suited for tabular data, neural networks, and advanced models, such as U-Nets and Convolutional Neural Networks (CNNs), focusing on computer vision and object detection. This course also covers Machine Learning Operations (MLOps), guiding students in model deployment using industry tools and adhering to industry standards.
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Rootkits and Hacking
SECU74000
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Student must pass 1 Course(s), selected in the Student Portal from available course options
View Program Option Electives
Data Visualization
PROG74010
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Privacy in Computing
SECU74010
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Level 11
Course details
Capstone Project II
CSCN74060
- Hours: 70
- Credits: 5
- Pre-Requisites:
- CoRequisites:
Student must pass 1 Course(s), selected in the Student Portal from available course options
Interdisciplinary Elective Details
Student must pass 1 Course(s), selected in the Student Portal from available course options
View Program Option Electives
Applied Data Analytics
PROG74020
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Secure Enterprise Architecture
SECU74020
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Student must pass 1 Course(s), selected in the Student Portal from available course options
View Program Option Electives
Data Mining
PROG74030
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Forensics and Cyber Incident Management
SECU74030
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Student must pass 1 Course(s), selected in the Student Portal from available course options
View Program Option Electives
Advanced Topics in Artificial Intelligence and Machine Learning
PROG74040
This advanced machine learning course covers various innovative topics, starting with a neural network recap and progressing to complex applications such as reinforcement learning, Generative Adversarial Networks (GANs), and autoencoders. Students explore transformers, applying them to tasks such as sentiment analysis, text generation and summarization. The course then focuses on generative Artificial Intelligence (AI) and large language models, examining how they are applied in chatbots and multimodal scenarios. Students in this course will also examine Responsible AI, emphasizing ethical considerations, guardrails, and legal implications.
- Hours: 42
- Credits: 3
- Pre-Requisites: PROG74000
- CoRequisites:
Applied Cryptography
SECU74040
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Program outcomes
- Apply mathematical foundations, algorithmic principles, and computer science techniques to create, test and evaluate computing solutions.
- Apply knowledge of software / hardware to refine software designs and enhance software quality.
- Creatively design and develop robust software systems that meet the specified functional and non-functional design requirements in accordance with industry best practices and standards as well as economic, environmental, cultural and societal considerations.
- Apply research and critical thinking skills to evaluate current techniques, skills, tools, strategies, and methodologies used in the management, testing and design of computing systems to adapt and improve development outcomes.
- Evaluate risk using software quality management principles and project risk management practices to support decisions in computing systems development processes.
- Apply concepts of human relations and organizational behaviour when leading diverse teams in support of establishing and maintaining effective working relationships.
- Apply principles and practices of financial, entrepreneurial, risk and business management in the process of high quality computing systems development.
- Communicate complex concepts to technical and non-technical audiences using written, oral, and graphical methods producing effective reports, presentations, design documentation, and instructions.
- Interpret professional, ethical, and legal codes of practice required to be in compliance with legislation and professional standards, and to protect the public and public interest.
- Apply professional ethics, accountability and equity to demonstrate, value, and respect diversity across global and societal contexts.
- Address individual needs for continuing education and professional development to maintain technical and professional competence, and to contribute to the advancement of knowledge.
- Analyze and/or create high-quality complex computing solutions within leading-edge areas of specialization in computer science.